Conservation of Carbohydrate Binding Interfaces — Evidence of Human HBGA Selection in Norovirus Evolution

Human noroviruses are the major viral pathogens of epidemic acute gastroenteritis. These genetically diverse viruses comprise two major genogroups (GI and GII) and approximately 30 genotypes. Noroviruses recognize human histo-blood group antigens (HBGAs) in a diverse, strain-specific manner. Recently the crystal structures of the HBGA-binding interfaces of the GI Norwalk virus and the GII VA387 have been determined, which allows us to examine the genetic and structural relationships of the HBGA-binding interfaces of noroviruses with variable HBGA-binding patterns. Our hypothesis is that, if HBGAs are the viral receptors necessary for norovirus infection and spread, their binding interfaces should be under a selection pressure in the evolution of noroviruses.Structural comparison of the HBGA-binding interfaces of the two noroviruses has revealed shared features but significant differences in the location, sequence composition, and HBGA-binding modes. On the other hand, the primary sequences of the HBGA-binding interfaces are highly conserved among strains within each genogroup. The roles of critical residues within the binding sites have been verified by site-directed mutagenesis followed by functional analysis of strains with variable HBGA-binding patterns.Our data indicate that the human HBGAs are an important factor in norovirus evolution. Each of the two major genogroups represents an evolutionary lineage characterized by distinct genetic traits. Functional convergence of strains with the same HBGA targets subsequently resulted in acquisition of analogous HBGA binding interfaces in the two genogroups that share an overall structural similarity, despite their distinct locations and amino acid compositions. On the other hand, divergent evolution may have contributed to the observed overall differences between and within the two lineages. Thus, both divergent and convergent evolution, as well as the polymorphic human HBGAs, likely contribute to the diversity of noroviruses. The finding of genogroup-specific conservation of HBGA binding interfaces will facilitate the development of rational strategies to control and prevent norovirus-associated gastroenteritis

Comprehensive Identification and Modified-Site Mapping of S-Nitrosylated Targets in Prostate Epithelial Cells

Although overexpression of nitric oxide synthases (NOSs) has been found associated with prostate diseases, the underlying mechanisms for NOS-related prostatic diseases remain unclear. One proposed mechanism is related to the S-nitrosylation of key regulatory proteins in cell-signaling pathways due to elevated levels of NO in the prostate. Thus, our primary objective was to identify S-nitrosylated targets in an immortalized normal prostate epithelial cell line, NPrEC.We treated NPrEC with nitroso-cysteine and used the biotin switch technique followed by gel-based separation and mass spectrometry protein identification (using the LTQ-Orbitrap) to discover S-nitrosylated (SNO) proteins in the treated cells. In parallel, we adapted a peptide pull-down methodology to locate the site(s) of S-nitrosylation on the protein SNO targets identified by the first technique. This combined approach identified 116 SNO proteins and determined the sites of modification for 82 of them. Over 60% of these proteins belong to four functional groups: cell structure/cell motility/protein trafficking, protein folding/protein response/protein assembly, mRNA splicing/processing/transcriptional regulation, and metabolism. Western blot analysis validated a subset of targets related to disease development (proliferating cell nuclear antigen, maspin, integrin beta4, alpha-catenin, karyopherin [importin] beta1, and elongation factor 1A1). We analyzed the SNO sequences for their primary and secondary structures, solvent accessibility, and three-dimensional structural context. We found that about 80% of the SNO sites that can be mapped into resolved structures are buried, of which approximately half have charged amino acids in their three-dimensional neighborhood, and the other half residing within primarily hydrophobic pockets.We here identified 116 potential SNO targets and mapped their putative SNO sites in NPrEC. Elucidation of how this post-translational modification alters the function of these proteins should shed light on the role of NO in prostate pathologies. To our knowledge, this is the first report identifying SNO targets in prostate epithelial cells

Identification of a Conserved Anti-Apoptotic Protein That Modulates the Mitochondrial Apoptosis Pathway

Here we identified an evolutionarily highly conserved and ubiquitously expressed protein (C9orf82) that shows structural similarities to the death effector domain of apoptosis-related proteins. RNAi knockdown of C9orf82 induced apoptosis in A-549 and MCF7/casp3-10b lung and breast carcinoma cells, respectively, but not in cells lacking caspase-3, caspase-10 or both. Apoptosis was associated with activated caspases-3, -8, -9 and -10, and inactivation of caspases 10 or 3 was sufficient to block apoptosis in this pathway. Apoptosis upon knockdown of C9orf82 was associated with increased caspase-10 expression and activation, which was required for the generation of an 11 kDa tBid fragment and activation of Caspase-9. These data suggest that C9orf82 functions as an anti-apoptotic protein that modulates a caspase-10 dependent mitochondrial caspase-3/9 feedback amplification loop. We designate this ubiquitously expressed and evolutionarily conserved anti-apoptotic protein Conserved Anti-Apoptotic Protein (CAAP). We also demonstrated that treatment of MCF7/casp3-10b cells with staurosporine and etoposides induced apoptosis and knockdown of CAAP expression. This implies that the CAAP protein could be a target for chemotherapeutic agents

C-Terminal Arginine Cluster Is Essential for Receptor Binding of Norovirus Capsid Protein

Noroviruses are the major viral pathogens of epidemic acute gastroenteritis affecting people worldwide. They have been found to recognize human histo-blood group antigens as receptors. The P domain of norovirus capsid protein was found to be responsible for binding to viral receptors, and the recombinant P protein forms P dimers and P particles in vitro. In this study, we demonstrate that a highly conserved arginine (R) cluster at the C terminus of the P domain is critical for receptor binding and P particle formation of the P proteins. Deletions of the R cluster abolished these functions. Replacement of the R cluster with histidines (another positively charged amino acid) resulted in low efficiency of receptor binding and P particle formation, while replacement with alanines led to loss of both functions completely. The R cluster also contains a highly conserved trypsin digestion site. A treatment of capsid protein or P domain mutants from both genogroup I (Norwalk virus) and genogroup II (VA387) noroviruses with trypsin resulted in a removal of the R cluster and the S domain, leaving a P polypeptide of 31.3 kDa (Norwalk virus) or 34.3 kDa (VA387), similar to the soluble P protein found in vivo. Our findings imply that the proteolytic process could be a necessary step for norovirus replication in the host

Additional file 1: Figure S1. of UQlust: combining profile hashing with linear-time ranking for efficient clustering and analysis of big macromolecular data

1D-jury algorithm for geometric consensus-based model ranking with contact map profiles. Three models (rows) of a hypothetical protein consisting of just 4 amino acid residues are considered, with the upper triangle of the inter-residue contact map (i,j) arranged as a linear profile. Black squares indicate contacts, while yellow squares indicate pairs of residues that are not in contact. The calculation of the score for the best scoring M2 model that corresponds to the consensus state at 5 (out of 6) profile positions proceeds red arrows. Note that a vector of state counts in each column of the profile can be precomputed in linear time, allowing one to account for all pairwise similarities without the need for a loop over pairs of models. Figure S2. Assessment of protein model selection on TASSER benchmark using uQlust: Hash (K,F) with different choices of the number of clusters K, and fraction of data included F. Low (averaged over all TASSER targets) RMSD of the top ranking model with respect to the best model available indicates better results. Figure S3. Comparison between full (RMSD-based average linkage) and uQlust:Tree (approximate) hierarchical clustering of coarse-grained structures obtained using CABS-flex server (Jamroz et al., 2013). Three initial conformations of troponin C are used to generate 3 distinct clusters (each containing 3,000 models, and marked by red, green and blue bars, respectively). Figure S4. Hierarchical clustering of ribosomal RNAs (blue – 16S, red – 23S, green - 5S) using the fragment-based RNA-FragBag profile, uQlust:Tree in conjunction with profile hashing (using the default number of microclusters) and cosine distance. Table S1. Structural profiles implemented in uQlust. For each profile, its type (as defined by the macromolecule it applies to, i.e., either protein or RNA), the source of state assignment, the number of states and the size (length) of the profile are reported. (PDF 260 kb